课程列表: Machine Learning

Machine learning: from the basics to advanced topics.

Includes statistics topics, data mining and artificial intelligence as well as applications like natural language processing, recommender systems, robot control.

作者: Grigory Sapunov
课程
介绍
会期
21
6-864f05
6-864f05
Prof. Michael Collins
MIT OpenCourseWare
计算机科学
Gb Free
课程加成功了: 很早之前
This course is a graduate introduction to natural language processing - the study of human language from a computational perspective. It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms. It also covers applications of these...
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22
18-465s07
18-465s07
Prof. Dmitry Panchenko
MIT OpenCourseWare
数学与统计
Gb Free
课程加成功了: 很早之前
The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empirical...
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23
15-097s12
15-097s12
Prof. Cynthia Rudin
MIT OpenCourseWare
商务与管理
Gb Free
课程加成功了: 很早之前
Prediction is at the heart of almost every scientific discipline, and the study of generalization (that is, prediction) from data is the central topic of machine learning and statistics, and more generally, data mining. Machine learning and statistical methods are used throughout the scientific world...
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24
Course-logo
Course-logo
Andrew Conway
Princeton University
数学与统计
Gb Free
课程加成功了: 很早之前
Statistics One is a comprehensive yet friendly introduction to statistics. Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics. Comprehensive means that this course provides a solid foundation for students planning to pursue more advanced courses...
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25
Stat2.1x-262x136_verified
Stat2.1x-262x136_verified
An introduction to descriptive statistics, emphasizing critical thinking and clear communication. About this Course *Note - This is an Archived course* This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active...
2014年2月24日, 5 星期
已经被X人收藏了 4 人
26
Stat22_262x136_verified
Stat22_262x136_verified
UC BerkeleyX
数学与统计
Gb Free
课程加成功了: 很早之前
An introduction to probability, with the aim of developing probabilistic intuition as well as techniques needed to analyze simple random samples. About this Course *Note - This is an Archived course* This is a past/archived course. At this time, you can only explore this course in a self-paced fashion...
2014年4月14日, 5 星期
已经被X人收藏了 3 人
27
Stat23_262x136_verified
Stat23_262x136_verified
UC BerkeleyX
数学与统计
Gb Free
课程加成功了: 很早之前
An introduction to statistical ideas and methods commonly used to make valid conclusions based on data from random samples. About this Course *Note - This is an Archived course* This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of...
2014年6月02日, 5 星期
已经被X人收藏了 3 人
28
Introstatslogocropped
Introstatslogocropped
Alison Gibbs and Jeffrey Rosenthal
University of Toronto
数学与统计
Gb Free
课程加成功了: 很早之前
This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world. We live in a world where data are increasingly available, in ever larger quantities, and are increasingly expected...
2013年4月01日, 47 星期
已经被X人收藏了 2 人
29
Passion_driven_statistics2orig
Passion_driven_statistics2orig
Lisa Dierker
Wesleyan University
数学与统计
Gb Paid Free
课程加成功了: 很早之前
With existing data, you will develop skills in data analysis and basic statistics by exploring your own research question. In this project-based course, you will have the opportunity to answer a question that you feel passionately about through independent research based on existing data. Students will...
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30
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_yy2hpkgptwoavyz1alxuduszvmbmy8erkbloh827e0--j9t62wsg6mdh8etg8oyqrror55kn0sruaekzs4=s0#w=436&h=268
Udacity
数学与统计
Gb Free
课程加成功了: 很早之前
We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions.
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31
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Tejwuxziggaiuavtti69tdhkrrs9dobngvbhe487isvn38fgj-tmdlffwmqd_obde4f_fqelato3tziadw=s0#w=436&h=268
Udacity
数学与统计
Gb Free
课程加成功了: 很早之前
Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.
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32
15-062s03
15-062s03
Prof. Nitin Patel
MIT OpenCourseWare
商务与管理
Gb Free
课程加成功了: 很早之前
Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar...
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33
18-05s05
18-05s05
Prof. Dmitry Panchenko
MIT OpenCourseWare
数学与统计
Gb Free
课程加成功了: 很早之前
This course provides an elementary introduction to probability and statistics with applications. Topics include: basic probability models; combinatorics; random variables; discrete and continuous probability distributions; statistical estimation and testing; confidence intervals; and an introduction...
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34
18-443f06
18-443f06
Prof. Dmitry Panchenko
MIT OpenCourseWare
数学与统计
Gb Free
课程加成功了: 很早之前
This course offers a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, and correlation. OCW...
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35
Data_stat_graphic_600x340
Data_stat_graphic_600x340
Duke University
社会科学 数学与统计
Gb Paid Free
课程加成功了: 2013年10月21日
The Coursera course, Data Analysis and Statistical Inference has been revised and is now offered as part of Coursera Specialization “Statistics with R”. This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make...
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36
Core-in-data
Core-in-data
Higher School of Economics
数学与统计
Gb Paid Free
课程加成功了: 2013年10月24日
Learn both theory and application for basic methods that have been invented either for developing new concepts – principal components or clusters, or for finding interesting correlations – regression and classification. This is preceded by a thorough analysis of 1D and 2D data. The course was created...
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37
Predictionmachinelearning
Predictionmachinelearning
Johns Hopkins University
工程科学 数学与统计
Gb Paid Free
课程加成功了: 2014年1月22日
Learn the basic components of building and applying prediction functions with an emphasis on practical applications. This is the eighth course in the Johns Hopkins Data Science Specialization. One of the most common tasks performed by data scientists and data analysts are prediction and machine learning...
2015年6月01日, 4 星期
2015年7月06日, 4 星期
2015年8月03日, 4 星期
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2015年10月05日, 4 星期
2015年11月02日, 4 星期
2015年12月07日, 4 星期
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38
Cs229
Cs229
Instructor: Ng, Andrew
Stanford
计算机科学 数学与统计
Gb Free
课程加成功了: 2014年3月05日
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality...
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39
Cs224n
Cs224n
Instructor: Manning, Christopher D.
Stanford
计算机科学
Gb Free
课程加成功了: 2014年3月05日
This course is designed to introduce students to the fundamental concepts and ideas in natural language processing (NLP), and to get them up to speed with current research in the area. It develops an in-depth understanding of both the algorithms available for the processing of linguistic information...
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40
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4r8rxv_45btyx295gnf6lm81yzvqtji1eyhffxtx5hjktgt7sb_2wviucedl4lrbv3npcnwpsy9em1wqdoi=s0#w=1757&h=1080
In this course, you'll learn how to apply Supervised Learning techniques important for solving a range of data science problems. And for surviving the robot uprising.
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